ArticleExtended abstracts on Human factors in computing systems. CHI Conference2022
Battling Bias in Primary Care Encounters: Informatics Designs to Support Clinicians.
Article in Extended abstracts on Human factors in computing systems. CHI Conference, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
5 citing papers in PubMed.
- Envisioning the future of primary care: intervention strategies to support patient-centered communication feedback technology.Journal of the American Medical Informatics Association : JAMIA · 2025Article
- Artificial intelligence-generated feedback on social signals in patient-provider communication: technical performance, feedback usability, and impact.JAMIA open · 2024Article
- ConverSense: An Automated Approach to Assess Patient-Provider Interactions using Social Signals.Proceedings of the SIGCHI conference on human factors in computing systems. CHI Conference · 2024Article
- Designing Communication Feedback Systems To Reduce Healthcare Providers' Implicit Biases In Patient Encounters.Proceedings of the SIGCHI conference on human factors in computing systems. CHI Conference · 2024Article
- Maybe they had a bad day: how LGBTQ and BIPOC patients react to bias in healthcare and struggle to speak out.Journal of the American Medical Informatics Association : JAMIA · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
Abstract
Although clinical training in implicit bias is essential for healthcare equity, major gaps remain both for effective educational strategies and for tools to help identify implicit bias. To understand the perspectives of clinicians on the design of these needed strategies and tools, we conducted 21 semi-structured interviews with primary care clinicians about their perspectives and design recommendations for tools to improve patient-centered communication and to help mitigate implicit bias. Participants generated three types of solutions to improve communication and raise awareness of implicit bias: digital nudges, guided reflection, and data-driven feedback. Given the nuance of implicit bias communication feedback, these findings illustrate innovative design directions for communication training strategies that clinicians may find acceptable. Improving communication skills through individual feedback designed by clinicians for clinicians has the potential to improve healthcare equity.
Indexed as
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.